Package: MCMC4Extremes 1.1

Fernando Ferraz do Nascimento

MCMC4Extremes: Posterior Distribution of Extreme Value Models in R

Provides some function to perform posterior estimation for some distribution, with emphasis to extreme value distributions. It contains some extreme datasets, and functions that perform the runs of posterior points of the GPD and GEV distribution. The package calculate some important extreme measures like return level for each t periods of time, and some plots as the predictive distribution, and return level plots.

Authors:Fernando Ferraz do Nascimento [aut, cre], Wyara Vanesa Moura e Silva [aut, ctb]

MCMC4Extremes_1.1.tar.gz
MCMC4Extremes_1.1.tar.gz(r-4.7-any)MCMC4Extremes_1.1.tar.gz(r-4.6-any)
MCMC4Extremes_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MCMC4Extremes/json (API)

# Install 'MCMC4Extremes' in R:
install.packages('MCMC4Extremes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • barcelos - 30-day maxima rainfall at Barcelos Station
  • fajardo - 15-day maxima river food at Fajardo River
  • gurgueia - Daily river quota of Gurgueia River.
  • ibovespa - Daily returns of ibovespa

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.28 score 19 scripts 205 downloads 19 exports 1 dependencies

Last updated from:f4ac4f621d. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK158
linux-release-x86_64OK110
wasm-releaseOK95

Exports:dggevgammapgevpggevpgpdpgumbelpnormalppggevplot.gevpplot.ggevpplot.gpdpplot.gumbelpplot.normalpqggevrggevsummary.gevpsummary.ggevpsummary.gpdpsummary.gumbelp

Dependencies:evir